Utah Transit Authority Turbo-Charges Its Business Analytics
Company Size
1,000+
Region
- America
Country
- United States
Product
- WebFOCUS
- iWay DataMigrator
- InfoAssist
Tech Stack
- SQL Server
- Excel
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Transportation
Applicable Functions
- Logistics & Transportation
Use Cases
- Predictive Maintenance
- Public Transportation Management
Services
- Data Science Services
About The Customer
The Utah Transit Authority (UTA) is a public transportation agency headquartered in Salt Lake City, Utah. It provides services throughout the Wasatch Front of Utah, which includes the metropolitan areas of Ogden, Provo, Salt Lake City, and Tooele. UTA operates fixed route buses, express buses, ski buses, three light rail lines (TRAX), a streetcar line (the S-Line), and a commuter rail train (the FrontRunner) from Ogden through Salt Lake City to Provo. The agency covers more than 1,400 square miles, making it one of the largest coverage areas of any public transportation agency in the country. UTA provides public transportation to 80 percent of Utah residents.
The Challenge
The Utah Transit Authority (UTA) provides public transportation services throughout six counties in the Wasatch Front of Utah. It operates fixed route buses, express buses, ski buses, three light rail lines (TRAX), a streetcar line (the S-Line), and a commuter rail train (the FrontRunner) from Ogden through Salt Lake City to Provo. The agency collects and analyzes a tremendous amount of data to keep trains on schedule, assess gaps in coverage, pinpoint the causes of delays, and improve transit operations for the city. However, business users formerly had to access data from multiple disparate sources, then analyze it manually in Excel – or wait for the IT department to create custom reports. This process was time-consuming and inefficient.
The Solution
To address the challenge of data analysis, UTA selected Information Builders’ business intelligence (BI), business analytics, and integration technologies. iWay DataMigrator collects data from various applications including maintenance work orders, maintenance labor, fuel and oil, and fare accounting operations. WebFOCUS and InfoAssist enable a user-friendly environment for query and analysis. The new analytics system allows the business community to take matters into their own hands as they strive to improve efficiency within the organization’s three biggest cost centers – labor, fuel, and maintenance. UTA now integrates, mines, and refines data from all of these sources to optimize business outcomes. Information Builders Professional Services helped UTA develop a data model for its electronic fare collection (EFC) system. They used DataMigrator to load SQL Server data, along with an Excel file, into a data warehouse.
Operational Impact
Quantitative Benefit
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